Staff Data Scientist - Supply Chain

In short

As a Staff Data Scientist in Supply Chain, you will play a pivotal role in shaping the future of On’s supply chain. You are a technical leader within our data science team, responsible for designing, developing, and deploying cutting-edge optimization solutions and advanced forecasting models. Your work will have a topline impact on our ability to optimize inventory, improve planning accuracy, and make data-driven decisions at a global scale.

You will tackle our most complex and ambiguous challenges in our supply chain. You will not only build and implement models but also provide strategic guidance, mentor fellow data scientists, and drive the technical roadmap for forecasting at On.

Your Mission

• Drive Topline Impact: Position data science to drive topline impact on the supply chain, reducing stockouts and ensuring orders are met in full, through evaluating the space and providing clarity on what needs to happen from both a technology, algorithm, and process perspective to achieve results.
• Design & Implement: Design, develop, and implement state-of-the-art optimization models to drive a more efficient, resilient, and reliable supply chain.
• Lead End-to-End Projects: Lead complex, end-to-end optimization projects from conception to deployment, ensuring they meet business needs and are scalable and robust.
• Strategic Guidance: Provide guidance on forecasting approaches and how they impact supply chain optimization and performance.
• Cross-Functional Leadership: Collaborate with senior stakeholders across the organization, including Demand Planning, Supply Planning, Product, and Controlling, to guide supply chain strategy so that it can best take advantage of data & AI.
• Thought Leadership: Act as a thought leader in the field of supply chain optimization and forecasting, staying abreast of the latest research and technologies and identifying opportunities to apply them at On.
• Team Development: Mentor and coach other data scientists, providing technical guidance and helping them grow in their careers while contributing to the development of our data science platform and infrastructure.

Your story

• A Proven Expert: You have a deep understanding of statistical modeling, machine learning, and time-series forecasting, with a proven track record of solving complex business problems.
• Technical Background: You hold a Master's or Ph.D. in a quantitative field and have 8+ years of experience in data science, with a focus on optimization and forecasting in the context of supply chains.
• Hands-on Leader: You are a hands-on-keyboard data scientist and strategic thinker who can lead projects, mentor others, and drive technical decisions.
• Technical Toolkit: You are an expert in Python and SQL, with experience in libraries (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch), optimization software (e.g. Gurobi), and large-scale data processing (e.g. Spark).
• Production Experience: You have a history of deploying and maintaining machine learning and optimization models in a production environment.
• Collaborative Partner: You are a strong communicator who can build relationships with stakeholders at all levels, translating complex technical concepts into business terms to drive alignment.

What to expect

We want to set everyone up for success, so here’s the lowdown on how we hire. Our process is a two-way street – bringing you into our culture, while helping us learn how you think.

Our full process can last about eight weeks from application to offer, because we care about getting it right. These steps explain how we usually do things.

Before you get started, feel free to consider if you want to work with us. Strange question? Well, we give people a lot of space to navigate their day-to-day and that style isn't for everyone. We want you to be passionate about what you do and be sure this is the right fit. Because when skills and passion combine – it creates that 'Wow' moment.

• Step One

  It starts with you...

  You'll start by submitting your application to a specific role. We try to keep this step as simple as possible. We do get a lot of applications, but we review them all. If you're a good fit to the role, a recruiter will follow up with you directly. If you didn't receive a reply, or were unsuccessful this time around, we encourage you to look for other possible matches at On.

• Step Two

  Interview with a recruiter

  What ignites your spirit? This is where we’ll start getting to know all about you and what makes you tick – and it’s your first chance to get a feel for our culture. Chatting with a member of our talent team, you’ll learn more about On and how we work. We’ll learn about what motivates you and what you could bring to the team.

• Step Three

  Interview with a hiring manager

  Ready to dig into the details? This second interview will be held with your future manager and will focus on the specifics of the job. Together you’ll delve into your unique skills and experiences and how they could be relevant at On. It's also a time to assess how you might feel working side-by-side. Bring any questions you have about the job, the team or anything else you might like to know – this is an open forum.

• Step Four

  The Case Study

  What's your style? This task will help us understand how you think, face a challenge and give insight into your novel ideas. Designed to give everyone their best shot, your case study is based on something you might typically experience on the job. This is your chance to show us what you’ve got. So express yourself. Be you.

• Step Five

  The Experience Day

  Your first taste of the Oniverse. This is a time to meet some of the people you'll be working closest with. In person or virtually, you'll get a feel for the day-to-day at On and the people who make it happen. You'll chat with a few potential teammates - the conversations will be as equally driven by the role and your experience as by our values. We believe how you do things is just as important as what you do.

• Step Six

  The Result

  Are we a good fit? We’ll get together internally to share our feedback and decide if we’re a match. We know that job searching is a big time investment, so it’s not a decision we take lightly. It’s also time for you to reflect on the experience – are we the right place for you? No matter the outcome, we’ll give you meaningful feedback.

Step One:

It starts with you...

You'll start by submitting your application to a specific role.

We try to keep this step as simple as possible. We do get a lot of applications, but we review them all. If you're a good fit to the role, a recruiter will follow up with you directly. If you didn't receive a reply, or were unsuccessful this time around, we encourage you to look for other possible matches at On.